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| Certification Vendor: | International Institute of Business Analysis (IIBA) |
|---|---|
| Exam Name: | IIBA Certificate in Cybersecurity Analysis (CCA) |
| Exam Number: | IIBA-CCA |
| Available Languages: | English |
| Recommended Training: | IIBA Cybersecurity Analysis Learning Resources |
| Exam Registration: | IIBA Certification Portal |
| Sample Questions: | IIBA IIBA-CCA Sample Questions |
| Exam Way: | Online, typically computer-based assessment (exact delivery details depend on IIBA exam provider) |
| Pre Condition: | No formal prerequisites published; familiarity with business analysis concepts is recommended. |
| Official Syllabus URL: | https://www.iiba.org/business-analysis-certifications/certificate-in-cybersecurity-analysis-cca/ |
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NEW QUESTION # 19
What risk to information integrity is a Business Analyst aiming to minimize, by defining processes and procedures that describe interrelations between data sets in a data warehouse implementation?
Answer: C
Explanation:
In a data warehouse, information from multiple operational sources is consolidated, transformed, and related through keys, joins, and business rules. When a Business Analyst defines processes and procedures that describe how data sets interrelate, they are primarily controlling the risk created by data aggregation. Aggregation risk arises when combining multiple datasets produces a new, richer dataset that can change the meaning, sensitivity, or trustworthiness of the information. If relationships and transformation rules are poorly defined or inconsistently applied, the warehouse can generate misleading analytics, incorrect roll-ups, duplicated records, or invalid correlations-directly harming information integrity because decisions are made on inaccurate or improperly combined data.
Well-defined interrelation procedures specify authoritative sources, master data rules, key management, referential integrity expectations, transformation and reconciliation steps, and data lineage. These controls help ensure the warehouse preserves correctness when data is integrated across systems with different formats, definitions, and update cycles. They also support governance by enabling validation checks (for example, balancing totals to source systems, exception handling, and data-quality thresholds) and by making it clear which dataset should be trusted for specific attributes.
Unauthorized access and confidentiality are important warehouse risks, but they are addressed mainly through access controls and encryption. Cross-site scripting is a web application vulnerability and is not the core issue in describing dataset relationships. Therefore, the correct answer is Data Aggregation.
NEW QUESTION # 20
What is the purpose of Digital Rights Management DRM?
Answer: A
Explanation:
Digital Rights Management is a set of technical mechanisms used to enforce the permitted uses of digital content after it has been delivered to a user or device. Its primary purpose is to control how copyrighted works are accessed and used, including restricting copying, printing, screen capture, forwarding, offline use, device limits, and redistribution. DRM systems commonly apply encryption to content and then rely on a licensing and policy enforcement component that checks whether a user or device has the right to open the content and under what conditions. These conditions can include time-based access (expiry), geographic limitations, subscription status, concurrent use limits, or restrictions on modification and export.
This aligns precisely with option B because DRM is fundamentally about usage control of copyrighted digital works, such as music, movies, e-books, software, and protected media streams. In cybersecurity documentation, DRM is often discussed alongside content protection, anti-piracy measures, and license compliance. It differs from general access control and audit logging: access control determines who may enter a system or open a resource, while auditing records actions for accountability. DRM extends beyond simple access by enforcing what a legitimate user can do with the content once accessed.
Option A describes audit logging, option C describes general authorization and data access control, and option D is closer to broad information rights management goals but is less precise than the standard definition focused on controlling use and distribution of copyrighted works.
NEW QUESTION # 21
If a system contains data with differing security categories, how should this be addressed in the categorization process?
Answer: D
Explanation:
When a system processes multiple information types with different security categorizations, cybersecurity standards require the system's overall security categorization to reflect the highest impact level among those information types. This is commonly called the high-water mark approach. The reason is straightforward: the system is only as secure as the protection applied to the most sensitive or most mission-critical data it handles. If the system were categorized at the lowest impact value, an attacker could target the weaker control baseline and still reach higher-impact information, creating an unacceptable gap in confidentiality, integrity, or availability protection.
In practice, categorization evaluates the potential impact of loss for each of the three security objectives and then selects the highest level for each objective across all information types handled by the system. That resulting system categorization then drives control selection, assurance activities, and the rigor of monitoring and incident response expectations. This approach also supports consistent governance: it prevents under-protecting systems that contain a mix of low and high sensitivity information and aligns control strength with worst-case business impact.
Segregating data across systems can be a valid architecture decision to reduce cost or scope, but it is not the required categorization rule; it is an optional design strategy that must be justified and implemented securely. Merging categories or using the lowest value contradicts risk-based protection principles and would likely fail compliance and audit scrutiny.
NEW QUESTION # 22
Why would a Business Analyst include current technology when documenting the current state business processes surrounding a solution being replaced?
Answer: B
Explanation:
A Business Analyst documents current technology in the "as-is" state because business processes are rarely isolated; they depend on applications, interfaces, data exchanges, identity services, and shared infrastructure. From a cybersecurity perspective, replacing one solution can unintentionally change trust boundaries, authentication flows, authorization decisions, logging coverage, and data movement across integrated systems. Option B is correct because understanding the current technology landscape helps identify where security impacts may occur across the value chain, including upstream data providers, downstream consumers, third-party services, and internal platforms that rely on the existing system.
Cybersecurity documents emphasize that integration points are common attack surfaces. APIs, file transfers, message queues, single sign-on, batch jobs, and shared databases can introduce risks such as broken access control, insecure data transmission, data leakage, privilege escalation, and gaps in monitoring. If the BA captures current integrations, dependencies, and data flows, the delivery team can properly perform threat modeling, define security requirements, and avoid breaking compensating controls that other systems depend on. This also supports planning for secure decommissioning, migration, and cutover, ensuring credentials, keys, service accounts, and network paths are rotated or removed appropriately.
The other options are less precise for the question. Training is not the core driver for documenting current technology. Governance requirements apply broadly but do not explain why current tech must be included. Data classification is important, but it is a separate activity from capturing technology dependencies needed to assess integration security impacts.
NEW QUESTION # 23
Protecting data at rest secures data that is:
Answer: B
Explanation:
Data at rest refers to information that is stored rather than actively moving across networks or being actively processed. This includes data saved on laptops and mobile devices, servers, databases, file shares, removable media, backup tapes, storage arrays, and cloud storage services. Because it sits in storage, the main risks involve unauthorized access (improper permissions, stolen credentials, insider misuse), theft or loss of devices/media, and misconfiguration (publicly exposed storage buckets, overly broad shared drives). Data at rest is also at risk when systems are decommissioned or storage is reused without secure wiping.
Cybersecurity documents emphasize protecting data at rest using layered controls. Encryption at rest ensures stored files or database records remain unreadable without the proper key, reducing impact if storage is stolen or accessed improperly. Strong access control and least privilege limit who can read or modify stored data, while segmentation and secure configuration reduce exposure pathways. Proper key management (separating keys from encrypted data, rotating keys, restricting key access) is critical so encryption meaningfully reduces risk. Additional controls include data classification and handling rules, secure backups (including immutable or protected backups), monitoring and audit logging for sensitive repositories, and secure disposal practices such as cryptographic erase or verified wiping.
Options A and B describe data in transit, not at rest. Option D is incorrect because stored data is not automatically less vulnerable; it is often highly attractive to attackers, so it requires deliberate protection.
NEW QUESTION # 24
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